The course introduces econometric methods for analyzing cross-sectional data, panel data and time series data and discusses their applicability in practice. The following topics are covered: extensions and applications of the linear model; instrumental variable estimation; binary response models; truncated and censored regression, static panel data models; specification, estimation, validation and forecasting of autoregressive models. The application of these methods is explained and illustrated by means of empirical examples.
Time and Venue
Lecture: Mondays 14:00-16:00 (weekly, from Nov 9) and Thursdays 10:00-12:00 (bi-weekly, from Nov 5)
Tutorials: Wednesdays 14:00-16:00 (bi-weekly, from Nov 11) or Thursdays 10:00-12:00 (bi-weekly, from Nov 12)
The moodle link to the course Applied Econometrics is the following: https://moodle.hu-berlin.de/enrol/index.php?id=98254
Literature:
Marno Verbeek: "A Guide to Modern Econometrics", 2012, John Wiley & Sons.
James H. Stock, Mark W. Watson: "Introduction to Econometrics", 2007, Pearson Education.
Christiaan Heij, Paul de Boer et al.: "Econometric Methods with Applications in Business and Economics", 2004, Oxford University Press.
Exam:
Written exam (90 min)